Outlook for 2013: Analysis of Ten Trends in Big Data Development

The development of big data in 2012 is in full swing, and it is catching up with cloud computing. If we compare this year to the year in which big data takes root, then 2013 will usher in a year of thriving and even blossoming. It is predicted that the big data market will grow at a rate of 40% per year. In 2012, the size of the big data market will be about $5 billion, which will double in 2013. What are the new trends in big data development in 2013? Whether IDC, Gartner or domestic big data research institutions have given their own answers, the author summarizes the views of the parties here and talks about their own ideas.

Outlook for 2013: Analysis of Ten Trends in Big Data Development

Prediction 1: Open source big data commercialization

As closed-source software continues to shrink in the field of data analysis, established IT vendors are changing business models, moving closer to open source, and increasing professional services and system integration to help customers migrate to open source, cloud-oriented analytics products. Mainly Hadoop and R technology. Unlike people's traditional understanding, the prevalence of open source in the big data market will not inhibit the business opportunities in the market. On the contrary, open source will bring more opportunities to related fields such as infrastructure hardware, application development tools, applications and services. .

Prediction 2: Hadoop will accelerate development

As a representative technology in the field of big data, many companies put their plans for Hadoop next year. It is predicted that users' optimization of Hadoop will pay more attention to hardware, and the market for enterprise-friendly Hadoop technology will reach an unprecedented peak. On the whole, not only is Hadoop itself going to develop rapidly, but Hadoop's configuration and seamless integration technology in multiple data centers will also become popular. Hadoop's expertise is growing rapidly, but outstanding talent in this area is still lacking.

Prediction 3: Big data complexity is reduced

The landing of big data technology will have two characteristics: one is that there are fewer and fewer dependencies on MapReduce, and the other is to apply Hadoop technology deep into the enterprise software architecture. For the first feature, software like Cloudera's Impala and Microsoft's PolyBase will be fully developed. They bypass MapReduce and directly process the data in HDFS. For the second feature, the large-scale use of Hadoop is an inevitable trend, and gradually will form the industry standard, and thus become a more valuable software foundation, not just its own internal use.

Forecast 4: Packaged Big Data Industry Analytics Application

As big data moves toward various industries, the demand for industry-based big data analytics applications is growing. Analytical applications for specific industries and business processes will emerge in the form of pre-packages over the next few years, which will open up new markets for big data technology providers. These analytic applications will also cover the expertise of many industries and will also attract the input of a large number of industry software development companies. (IDC)

Forecast 5: Big Data Segment

The development of big data related technologies will create some new market segments. For example, advanced data services based on data analysis and processing will appear as Analyze as a Service submitted with data analysis as a service product; integrated management of multiple information to create unified access to big data and Component products for analysis; social big data analysis based on social networks; even training market for big data skills, teaching data analysis courses, etc. (IDC)

Prediction 6: Big Data Drives Intercompany M&A

The big data concept covers a wide range, including unstructured data from storage, processing to application. There are also many software vendors associated with big data, but no other vendor can cover all aspects of big data. Therefore, in the next few years, large IT vendors will conduct M&A in order to improve their big data product lines. The first ones will be information management analysis software vendors, predictive analytics and data presentation vendors.

Prediction 7: A revolutionary approach to big data analytics

In the big data analysis, there will be a revolutionary new method. Just like computers and the Internet, big data may be a new wave of technological revolution. Many previous algorithms and basic theories may produce theoretical level breakthroughs. (CCF)

Prediction 8: Big Data and Cloud Computing: Deep Fusion

Big data processing is inseparable from cloud computing technology. Cloud computing provides a flexible and scalable infrastructure supporting environment for big data and an efficient model for data services. Big data provides new business value for cloud computing, big data technology and cloud computing. Technology must have a more perfect combination. Similarly, emerging computing forms such as cloud computing, the Internet of Things, and the mobile Internet are both places where big data is generated and areas where big data analysis methods are needed. (CCF)

Prediction 9: Big Data Appliances are released

Since the concept of cloud computing and big data has been proposed, software and hardware integration devices for this market have emerged one after another. In the next few years, data warehouse all-in-ones, NoSQL all-in-ones and other integrated devices that combine multiple technologies will further develop rapidly.

Prediction 10: Big data security is worrying

With the continuous increase of big data, the physical security requirements for data storage will become higher and higher, which will put forward higher requirements for multiple copies of data and disaster recovery mechanism. Network and digital life make it easier for criminals to obtain information about people, and there are more criminal methods that are difficult to track and prevent, and there may be higher scams.